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Tier-1 brand, metro Hyderabad location, and sought-after GenAI/cloud skills create moderate competition.
GenAI and cloud skills are transferable, but AML/financial compliance domain adds moderate sector specificity.
Explicit 10+ years and 4+ years GenAI requirement plus mandatory tech stack make filters strict.
Develop and deploy Agentic AI applications focused on AML transaction monitoring and compliance using Python and cloud technologies.
Own the end-to-end delivery lifecycle from development to production rollout in an agile, multi-location environment.
Design and implement scalable, secure AI/ML solutions integrating with platforms like Databricks and AWS (S3, EC2, Bedrock, Lambda).
Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
10+ years overall professional experience; 4+ years specifically in GenAI / Agentic AI engineering using cloud technologies.
Proven hands-on expertise with Python programming and GenAI/Agentic AI frameworks including LangChain, LangGraph, Pydantic, Strands, and CrewAI.
Familiarity with Databricks architecture and AWS services such as Bedrock, EC2, PostgreSQL platforms is mandatory.
Experienced in leading large-scale, multi-tenant AI application development and modernization initiatives in hybrid or cloud environments.
Strong technical mentorship experience with the ability to independently drive AI solution delivery under tight deadlines.
Demonstrated capability in integrating GenAI components (e.g., RAG, vector databases, model evaluation) and optimizing AI pipelines leveraging enterprise cloud services.